Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
M. Quraish Shihab is among the greatest Indonesian exegetes in the Malay Archipelago who contributed considerably to Qur’anic exegetical work. Due to the extremely close relationship between Qur’anic exegesis and Arabic, he is also considered by many as being highly skilled in Arabic and its various branches. In fact, numerous studies have resulted from Shihab’s immensely rich contributions. Thus, this study elaborates on Shihab’s contributions towards advancing the Arabic language in Indonesia. To identify this objective in more compactly, the document analysis method was applied by adopting his works in the field of Arabic as the main source of study. From the analysis, the research concludes that Shihab’s parents were instrumental in shaping his interest and passion of the Qur’an and Arabic. His persona shines brightly in Arabic linguistics with quality works appreciated by many. Furthermore, Shihab was committed to ensuring Arabic proficiency to produce qualified prospective Qur’anic exegetes in Indonesia.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it